Articles by R on Coding Club UC3M

Displaying time series with R

March 2, 2020 | R on Coding Club UC3M

by Oscar Perpiñán Lamigueiro Introduction A time series is a sequence of observations registered at consecutive time instants. The visualization of time series is intended to reveal changes of one or more quantitative variables through time, and to display the relationships between the variables and their evolution through time. ...
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Graph Theory 101 with corruption cases in Spain

January 20, 2020 | R on Coding Club UC3M

by María Medina Pérez According to CIS’ barometer, political corruption is the second biggest concern in Spain, only behind unemployment, and has been in this position since 2013, as we see Spanish news talking about open trials and new investigations on a regular basis. The European Commission estimates that ...
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Herds of statistical models

December 16, 2019 | R on Coding Club UC3M

by Carlos J. Gil Bellosta Big datasets found in statistical practice often have a rich structure. Most traditional methods, including their modern counterparts, fail to efficiently use the information contained in them. Here we propose and discuss an alternative modelling strategy based on herds of simple models. Big Data: How ...
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Spatial Data Analysis with INLA

November 4, 2019 | R on Coding Club UC3M

by Virgilio Gómez Rubio Introduction In this session I will focus on Bayesian inference using the integrated nested Laplace approximation (INLA) method. As described in Rue et al. (2009), INLA can be used to estimate the posterior marginal distribution of Bayesian hierarchical models. This method is implemented in the INLA ...
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Mastering R presentations

September 23, 2019 | R on Coding Club UC3M

by Paula LC Do you want to know how to make elegant and simple reproducible presentations? In this talk, we are going to explain how to do presentations in different output formats using one of the easiest and most exhaustive statistical software, R. Now, it is possible create Beamer, PowerPoint, ...
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An introduction to Stan with R

January 21, 2019 | R on Coding Club UC3M

Stan is a probabilistic programming language for specifying statistical models. Stan provides full Bayesian inference for continuous-variable models through Markov Chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited ...
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LSTM with Keras & TensorFlow

November 26, 2018 | R on Coding Club UC3M

The aim of this tutorial is to show the use of TensorFlow with KERAS for classification and prediction in Time Series Analysis. The latter just implement a Long Short Term Memory (LSTM) model (an instance of a Recurrent Neural Network which avoids the vanishing gradient problem). Introduction The code below ...
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Online resources for teaching

November 5, 2018 | R on Coding Club UC3M

In this session I will try to show some utilities present in the web. One of them will help us to execute R code from the web, using an online compiler, without installing any kind of software in our computers. The other one, it can help us to solve optimization ...
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An introduction to Shiny II

October 15, 2018 | R on Coding Club UC3M

This is our second session introducing Shiny, an R package that allows to develop interactive Apps in a familiar framework for regular R-users. During the first session we focused on the structure and workflow basics, and now, we will go further on input and output objects, reactivity, layouts and data ...
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An introduction to Tensorflow

July 2, 2018 | R on Coding Club UC3M

Tensorflow has been widely used for many applications in machine learning and deep learning. However, Tensorflow is more than that, it is a general purpose computing library. Based on that, people have created a rich ecosystem for quickly developing models. In this talk, I will show how statisticians can get ...
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